Publication:
Decoding cognitive states using the bag of words model on fMRI time series

dc.contributor.coauthorSucu, Gunes
dc.contributor.coauthorAkbas, Emre
dc.contributor.coauthorVural, Fatos Yarman
dc.contributor.departmentDepartment of Psychology
dc.contributor.kuauthorÖztekin, İlke
dc.contributor.kuauthorMızrak, Eda
dc.contributor.kuprofileFaculty Member
dc.contributor.kuprofilePhD Student
dc.contributor.yokidN/A
dc.contributor.yokidN/A
dc.date.accessioned2024-11-09T23:13:06Z
dc.date.issued2016
dc.description.abstractBag-of-words (BoW) modeling has yielded successful results in document and image classification tasks. In this paper, we explore the use of BoW for cognitive state classification. We estimate a set of common patterns embedded in the fMRI time series recorded in three dimensional voxel coordinates by clustering the BOLD responses. We use these common patterns, called the code-words, to encode activities of both individual voxels and group of voxels, and obtain a BoW representation on which we train linear classifiers. Our experimental results show that the BoW encoding, when applied to individual voxels, significantly improves the classification accuracy (an average 7.2% increase over 13 different datasets) compared to a classical multi voxel pattern analysis method. This preliminary result gives us a clue to generate a code-book for fMRI data which may be used to represent a variety of cognitive states to study the human brain.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.identifier.doi10.1109/SIU.2016.7496222
dc.identifier.isbn9781-5090-1679-2
dc.identifier.linkhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84982814991&doi=10.1109%2fSIU.2016.7496222&partnerID=40&md5=565630e1e98b3c57ba27d4884c02626d
dc.identifier.scopus2-s2.0-84982814991
dc.identifier.urihttp://dx.doi.org/10.1109/SIU.2016.7496222
dc.identifier.urihttps://hdl.handle.net/20.500.14288/9930
dc.identifier.wos391250900538
dc.keywordsClassification (of information)
dc.keywordsEncoding (symbols)
dc.keywordsInformation retrieval
dc.keywordsInformation retrieval systems
dc.keywordsSignal processing
dc.keywordsTime series
dc.keywordsBag of words
dc.keywordsBag-of-words models
dc.keywordsBow representations
dc.keywordsClassification accuracy
dc.keywordsCognitive state
dc.keywordsHuman brain
dc.keywordsLinear classifiers
dc.keywordsMulti-voxel pattern analysis
dc.keywordsImage classification
dc.languageEnglish
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.source2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings
dc.subjectEngineering
dc.subjectElectrical and electronic engineering
dc.titleDecoding cognitive states using the bag of words model on fMRI time series
dc.typeConference proceeding
dspace.entity.typePublication
local.contributor.authoridN/A
local.contributor.authorid0000-0002-1765-7047
local.contributor.kuauthorÖztekin, İlke
local.contributor.kuauthorMızrak, Eda
local.publication.orgunit1College of Social Sciences and Humanities
local.publication.orgunit1Graduate School of Social Sciences and Humanities
local.publication.orgunit2Department of Psychology
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relation.isOrgUnitOfPublication.latestForDiscoveryd5fc0361-3a0a-4b96-bf2e-5cd6b2b0b08c

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